Xiaoyin Yi

EMODIS: A Benchmark for Context-Dependent Emoji Disambiguation in Large Language Models

Large language models (LLMs) are increasingly deployed in real-world communication settings, yet their ability to resolve context-dependent ambiguity remains underexplored. In this work, we present EMODIS, a new benchmark for evaluating LLMs